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Freelance · R&D Data & AI Specialist
I help pharmaceutical, biotech, and cosmetic R&D teams analyze complex experimental data, build statistical pipelines, and develop custom analytical applications, without compromising scientific rigor.
I'm Aslane Mortreau, an independent Data and AI specialist working with pharmaceutical, biotech, and cosmetic R&D teams. I help research teams go from raw experimental data to actionable decisions, through statistical analysis, custom analytical applications, and automated data pipelines.
Beyond classical statistical modeling, I design and deploy machine learning solutions tailored to R&D contexts: predictive models on experimental data, AI-driven formulation tools, and intelligent systems that integrate directly into existing research workflows.
I also work at the process level: auditing existing analytical workflows, identifying bottlenecks and reproducibility gaps, and building data roadmaps that align R&D operations with long-term scientific and regulatory objectives.
Rather than delivering one-off analyses, I build integrated analytical environments: reproducible pipelines, internal tools usable by non-statisticians, and automated reporting systems that standardize methodologies and scale across projects.
View full curriculum vitae →Biostatistics & Data Analysis
Data Engineering & Pipelines
Analytical App Development
AI & Machine Learning
R&D Process & Strategy
Freelance R Shiny Developer
Pharmaceutical & CMC Analytics
Data Science & Bioinformatics Consultant
Life Science Workflows
Freelance Data Scientist
Research & Innovation
Freelance DevOps & Data Engineer
Data Research Engineer
Freelance Automation Specialist
Analytics Engineer
Statistics
Clinical statistics automation platform with ANOVA, mixed models, survival analysis, diagnostics and automated reporting.
Statistics
PK/NCA and bioequivalence platform with a full pipeline: ingestion, estimation, diagnostics, and reporting.
Statistics
Automatic SAS code generation for statistical analysis of questionnaires and cosmetic claim substantiation.
Data Engineering
Automated CDISC SDTM/ADaM pipeline orchestrated with Dagster for reproducible clinical data processing.
Data Engineering
SDTM/ADaM validation engine with structural, relational checks and detailed anomaly reports.
Data Engineering
Dockerized streaming and visualization pipeline to simulate, process, and analyze random walk data in real-time.
AI / ML
Graph model (metapath2vec) to suggest compatible substitutes for cosmetic formulations.
AI / ML
CNN-based detection of arteriovenous malformations in brain MRI scans.
AI / ML
AI/NLP application that extracts skills from CVs and generates structured competency dossiers automatically.
AI / ML
R&D pipeline to encode digital data into DNA sequences with biochemical constraints and error correction.
AI / ML
Interactive SIR simulator to evaluate testing and vaccination strategy impacts on epidemic trajectories.
Aslane quickly built strong expertise on specific and complex business topics, grasped the business stakes, and translated them into relevant, structured, and actionable data analyses. Beyond his solid technical skills, I particularly valued his autonomy, his ability to propose solutions, his analytical rigor, and his capacity to communicate effectively with senior stakeholders. Aslane was a real asset in securing the project's feasibility under tight deadlines.
I recommend Aslane for data engineering and R-based data analysis missions. He masters data preparation, transformation, and structuring. Thanks to him, we developed R Shiny analyses and applications integrated into cloud environments (AWS/GCP), connected to data pipelines and storage. His deliverables are robust, clear, and directly usable by business teams.
He is a colleague who is at once very competent, intelligent, and pleasant: collaboration with him is smooth and effective. He builds expertise quickly in his areas, works well in a team, and his contributions are always relevant and well thought out. A real added value in his field.
Aslane proved serious, committed, and reliable throughout the collaboration. He adapted to project constraints, worked in a structured way, and maintained clear, professional communication. The collaboration went very well and the work delivered was of high quality.
Looking for a Data & AI specialist for your R&D team? Whether it's a short feasibility study or a long-term analytical partnership: let's talk.
From statistical analysis plans to full analytical platforms: I help pharma, biotech and cosmetics teams move from raw data to confident decisions, faster.
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